Instructions to use albertfares/CommitGraderModelDeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertfares/CommitGraderModelDeBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="albertfares/CommitGraderModelDeBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("albertfares/CommitGraderModelDeBERTa") model = AutoModelForSequenceClassification.from_pretrained("albertfares/CommitGraderModelDeBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 718e6c99821f2aafdd733fc04d112234d3e969bba6af27841eb9b6d719e50cac
- Size of remote file:
- 5.71 kB
- SHA256:
- 26124ca26cf3286e9b52970668af60f098d6e24155d950cff51f5c730547d329
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